Posted by **libr** at Oct. 23, 2015

English | 2013 | ISBN: 1466514787 | ISBN-13: 9781466514782 | 301 pages | PDF | 4,5 MB

Posted by **interes** at Oct. 1, 2013

English | 2013 | ISBN: 1466514787 | ISBN-13: 9781466514782 | 301 pages | PDF | 4,5 MB

A flexible, cell-level, and lattice-based technique, the cellular Potts model accurately describes the phenomenological mechanisms involved in many biological processes. Cellular Potts Models: Multiscale Extensions and Biological Applications gives an interdisciplinary, accessible treatment of these models, from the original methodologies to the latest developments.

Posted by **AvaxGenius** at Feb. 22, 2018

English | PDF,EPUB | 2018 | 350 Pages | ISBN : 3319655566 | 18.59 MB

This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules.

Posted by **step778** at Jan. 31, 2017

2004 | pages: 343 | ISBN: 0817642811 | PDF | 7,3 mb

Posted by **tanas.olesya** at March 30, 2016

English | 10 Oct. 2005 | ISBN: 1402036574 | 176 Pages | PDF | 6 MB

Modeling Chemical Systems using Cellular Automata provides a practical introduction to an exciting modeling paradigm for complex systems. The book first discusses the nature of scientific inquiry using models and simulations, and then describes the nature of cellular automata models.

Posted by **manamba13** at March 6, 2015

English | 2007 | ISBN: 3764381019 | 346 Pages | PDF | 14 MB

Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application.

Posted by **tanas.olesya** at Oct. 29, 2014

BirkhĂ¤user; 2007 edition | August 17, 2007 | English | ISBN: 3764381019 | 346 pages | PDF | 14 MB

Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application.

Posted by **step778** at June 20, 2014

2004 | pages: 349 | ISBN: 0817642811 | PDF | 6 mb

Posted by **DZ123** at Feb. 24, 2018

English | 1999 | ISBN: 0814404707 | PDF | pages: 396 | 1.7 mb

Posted by **AvaxGenius** at Feb. 24, 2018

English | PDF,EPUB | 2018 | 363 Pages | ISBN : 1493976796 | 20.7 MB

This volume is essential for anyone struggling with the cellular heterogeneity field, and it connects this new area with the latest advances in innovative techniques combined with practical advice from international experts. The chapters provide a comprehensive overview of cellular heterogeneity analysis techniques, exploring cytometry, imaging and spectroscopy methods, metabolic and molecular biological methods in tracking, as well as chromatin and cell cycle heterogeneity.